DeBERTa-Large ASAP Essay Scoring Model

This model is a fine-tuned version of microsoft/deberta-v3-large for automated essay scoring on the ASAP (Automated Student Assessment Prize) dataset, specifically trained on Question 1.

Model Description

  • Model Type: Sequence Classification
  • Architecture: DeBERTa-v3-Large (24 layers, 1024 hidden size, 16 attention heads)
  • Task: Automated Essay Scoring
  • Language: English
  • Dataset: ASAP Question 1
  • Number of Classes: 4 (score levels)

Dataset

This model was trained on the ASAP (Automated Student Assessment Prize) dataset, specifically Question 1. The ASAP dataset contains student essays with human-scored ratings.

  • Dataset Source: ASAP-SAS Kaggle Competition
  • Task: Score student essays on a predefined rubric
  • Question 1 Prompt: The dataset contains essays written in response to specific prompts, with scores assigned by human raters

Training Details

  • Base Model: microsoft/deberta-v3-large
  • Training Data: ASAP dataset Question 1

License

Please refer to the original DeBERTa-v3-large model license and the ASAP dataset terms of use.

Downloads last month
7
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for jiazhengli/deberta-large-asap_1

Finetuned
(230)
this model